메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1594-1601

Consensus of k-NNs for robust neighborhood selection on graph-based manifolds

Author keywords

graph sparsification; manifold learning

Indexed keywords

DATA MANIFOLDS; GRAPH SPARSIFICATION; GRAPH-BASED; K-NEAREST NEIGHBORHOODS; LOCAL NEIGHBORHOODS; MANIFOLD LEARNING; SELECTION CRITERIA; SIMILARITY INFORMATIONS;

EID: 84887338008     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.209     Document Type: Conference Paper
Times cited : (44)

References (19)
  • 3
    • 84858874031 scopus 로고    scopus 로고
    • Partially labeled classification with markov random walks
    • MIT Press
    • M. Jaakkola. Partially labeled classification with markov random walks. In NIPS, volume 2, page 945. MIT Press, 2002.
    • (2002) NIPS , vol.2 , pp. 945
    • Jaakkola, M.1
  • 4
    • 78650504234 scopus 로고    scopus 로고
    • Beyond pairwise shape similarity analysis
    • Springer
    • P. Kontschieder, M. Donoser, and H. Bischof. Beyond pairwise shape similarity analysis. In ACCV, pages 655-666. Springer, 2010.
    • (2010) ACCV , pp. 655-666
    • Kontschieder, P.1    Donoser, M.2    Bischof, H.3
  • 8
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
    • S. Monti, P. Tamayo, J. Mesirov, and T. Golub. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Machine learning, 52(1):91-118, 2003.
    • (2003) Machine Learning , vol.52 , Issue.1 , pp. 91-118
    • Monti, S.1    Tamayo, P.2    Mesirov, J.3    Golub, T.4
  • 10
    • 33644783522 scopus 로고    scopus 로고
    • Self-tuning spectral clustering
    • P. Perona and L. Zelnik-Manor. Self-tuning spectral clustering. NIPS, 17:1601-1608, 2004.
    • (2004) NIPS , vol.17 , pp. 1601-1608
    • Perona, P.1    Zelnik-Manor, L.2
  • 11
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 12
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural computation, 10(5):1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.3
  • 13
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. De Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.1    De Silva, V.2    Langford, J.3
  • 14
    • 34948876368 scopus 로고    scopus 로고
    • Human detection via classification on riemannian manifolds
    • O. Tuzel, F. Porikli, and P. Meer. Human detection via classification on riemannian manifolds. In CVPR, pages 1-8. IEEE, 2007.
    • (2007) CVPR IEEE , pp. 1-8
    • Tuzel, O.1    Porikli, F.2    Meer, P.3
  • 15
    • 56749153656 scopus 로고    scopus 로고
    • Improving shape retrieval by learning graph transduction
    • X. Yang, X. Bai, L. Latecki, and Z. Tu. Improving shape retrieval by learning graph transduction. ECCV, pages 788-801, 2008.
    • (2008) ECCV , pp. 788-801
    • Yang, X.1    Bai, X.2    Latecki, L.3    Tu, Z.4
  • 16
    • 70450182083 scopus 로고    scopus 로고
    • Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval
    • IEEE
    • X. Yang, S. Koknar-Tezel, and L. Latecki. Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval. In CVPR, pages 357-364. IEEE, 2009.
    • (2009) CVPR , pp. 357-364
    • Yang, X.1    Koknar-Tezel, S.2    Latecki, L.3
  • 17
    • 80052899384 scopus 로고    scopus 로고
    • Affinity learning on a tensor product graph with applications to shape and image retrieval
    • IEEE
    • X. Yang and L. Latecki. Affinity learning on a tensor product graph with applications to shape and image retrieval. In CVPR, pages 2369-2376. IEEE, 2011.
    • (2011) CVPR , pp. 2369-2376
    • Yang, X.1    Latecki, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.